The Limits of Pairwise Correlation to Model the Joint Entropy. Comment on Nguyen Thi Thanh et al. Entropy Correlation and Its Impacts on Data Aggregation in a Wireless Sensor Network. Sensors 2018, 18, 3118

Benoît Legat; Luc Rocher

doi:10.3390/s21113700

Sensors (May 2021)

The Limits of Pairwise Correlation to Model the Joint Entropy. Comment on Nguyen Thi Thanh et al. Entropy Correlation and Its Impacts on Data Aggregation in a Wireless Sensor Network. Sensors 2018, 18, 3118

Benoît Legat,
Luc Rocher

Affiliations

Benoît Legat: Information and Communication Technologies, Electronics and Applied Mathematics (ICTEAM), Université Catholique de Louvain, B-1348 Louvain-la-Neuve, Belgium
Luc Rocher: Department of Computing, Imperial College London, London SW7 2AZ, UK

DOI: https://doi.org/10.3390/s21113700
Journal volume & issue: Vol. 21, no. 11
p. 3700

Abstract

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Information theory is a unifying mathematical theory to measure information content, which is key for research in cryptography, statistical physics, and quantum computing [...]

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Published in Sensors

ISSN: 1424-8220 (Online)
Publisher: MDPI AG
Country of publisher: Switzerland
LCC subjects: Technology: Chemical technology
Website: http://www.mdpi.com/journal/sensors

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